Self- and Super-organizing Maps in R: The kohonen Package
In this age of ever-increasing data set sizes, especially in the natural sciences, visualisation becomes more and more important. Self-organizing maps have many features that make them attractive in this respect: they do not rely on distributional assumptions, can handle huge data sets with ease, and have shown their worth in a large number of applications. In this paper, we highlight the kohonen package for R, which implements self-organizing maps as well as some extensions for supervised pattern recognition and data fusion.
Year of publication: |
2007-10-08
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Authors: | Wehrens, Ron ; Buydens, Lutgarde M. C. |
Published in: |
Journal of Statistical Software. - American Statistical Association. - Vol. 21.2007, i05
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Publisher: |
American Statistical Association |
Saved in:
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